Hybrid deep learning approach to improve classification of low-volume high-dimensional data.
Pegah MavaieLawrence HolderMichael K. SkinnerPublished in: BMC Bioinform. (2023)
Keyphrases
- high dimensional data
- deep learning
- high dimensionality
- dimensionality reduction
- unsupervised learning
- dimension reduction
- low dimensional
- high dimensional
- nearest neighbor
- data sets
- subspace clustering
- pattern recognition
- machine learning
- feature space
- restricted boltzmann machine
- data analysis
- decision trees
- data points
- clustering high dimensional data
- high dimensional datasets
- image classification
- feature selection
- training set
- supervised learning
- input data
- sparse representation
- unsupervised feature learning
- feature extraction
- high dimensional spaces
- support vector machine
- multivariate temporal data
- reinforcement learning
- support vector